Cognitive-Learning-Curve-Modeling-Across-Reinforcement-Conditions

🧠 Cognitive-Learning-Curve-Modeling-Across-Reinforcement-Conditions

A cognitive modeling project designed to simulate learning behavior across different reinforcement environments (positive, negative, mixed). The system leverages experimental simulations and behavioral psychology frameworks.

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🧪 Overview

This project examines how learning rates and behavior evolve in varying reinforcement settings. It uses simulated data to train, fit, and analyze learning curves using custom models.

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📁 Folder Structure

File / Folder	Description
simulation.py	Simulates agents in reinforcement environments
model.py	Defines learning curve models (e.g., Rescorla-Wagner)
analysis.py	Visualizes and compares learning trends
datasets/	Contains synthetic or sampled learning data
requirements.txt	Python dependencies
LICENSE	MIT License

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🧠 Core Concepts

• Reinforcement Learning
• Cognitive Psychology
• Learning Rate Adaptation
• Behavioral Experiment Simulation

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🚀 Usage

pip install -r requirements.txt
python simulation.py
python analysis.py